Sales Analytics Sales Analysis & Modeling Using Excel

Published 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.30 GB | Duration: 4h 31m
Unlock the Power of Data: Master sales analytics techniques & build analytical models in Excel for Improved Performance

What you’ll learn
Analyze data in different stages of the sales process based on analytical models
Create decision tree models to segment the leads and identify which segment is most likely to convert
Create charts and graphs in Excel to visualize sales data, including bar charts, line charts, and scatter plots
Analyze and make sense of sales data, and develop insights to improve sales performance using Excel
Create interactive dashboards using Excel, which can be used to track and monitor key sales metrics
Use time series forecasting to predict future sales and how to interpret and evaluate the results of these predictions
Perform simple linear regression analysis and use it to understand the relationship between different variables and predict future sales using Excel
Increase customer lifetime by identifying which customers are likely to leave using a logistic regression model
Find which items can be cross sold using Market Basket Analysis and Lift
Requirements
A PC/ laptop with good internet connection and MS Excel installed on it
Description
If you are a sales professional or someone looking to enter this field, knowledge of sales data analysis is a must-have skill in today’s world. Sales Analytics is an essential aspect of any sales organization, and understanding how to analyze and model your sales data can give you a competitive edge in the market. Are you tired of relying on guesswork to drive your sales strategies? Are you ready to make data-driven decisions that can increase your sales and improve your bottom line? If so, then enrolling in this course is a must. This course will give you the skills and knowledge you need to make data-driven decisions, increase sales, and achieve your career goals.In this course, you will:Prepare and process sales data to find answer to sales questionsVisualize sales data and create dashboards to share with stakeholdersGain expertise in using decision tree models to segment leads and identify most-likely-to-convert leadsMaster the art of sales forecasting, including trend analysis and predictive modelingBecome proficient in making regression model to predict churn probability and creating retention plansApply your newfound knowledge through hands-on projects and real-world case studiesWhy learn Sales Analytics?Sales data analysis is critical for success in today’s fast-paced and competitive sales environment. This course will help you understand the key metrics and techniques used by top sales professionals to measure performance, identify trends, and make data-driven decisions. You’ll also learn how to effectively communicate your findings to stakeholders and drive business results. Whether you are a sales professional, marketer, business analyst, entrepreneur, or student, this course will give you the skills you need to succeed in today’s data-driven world. Enroll now and take the first step towards becoming a sales analytics expert.Course activitiesThroughout the course, you will complete hands-on projects and real-world case studies to reinforce your learning. You’ll have the opportunity to apply your newfound skills and knowledge to real sales scenarios and see the impact of your analysis on sales performance. Some of the activities you would do in this course are:Segment leads and identify the segment which is most likely to convertForecast future sales based on historical sales dataFind the relationship between sales and other factors and use it to focus resources on factors that drive salesPredict the probability of churn for customer and create a retention plan accordingly5 Reasons why you should choose this Sales Analytics courseCarefully designed curriculum teaching you about all aspects of Sales analytics and tools used while doing analysisStep-by-step guidance & sales related examples and case studies to help you become a skilled sales analystDownloadable Excel files containing data and solutions used while creating models for sales analyticsClass notes and assignments to revise and practice the concepts on sales analyticsA supportive and engaging community of fellow studentsWhat makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Analytics, Machine Learning and Business analytics for over a decade. They have an in-depth knowledge of business data analysis and visualization using tools like Excel, SQL, Python and Tableau.We are also the creators of some of the most popular online courses – with over 1 million enrollments and thousands of 5-star reviews like these ones:I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! – SikiruVery insightful, learning very nifty tricks and enough detail to make it stick in your mind. – ArmandSo if you’re ready to take your sales skills to the next level, enroll in Sales Analytics: Sales Analysis & Modeling using Excel today!CheersStart-Tech Academy
Overview
Section 1: Introduction
Lecture 1 Welcome to the course
Lecture 2 Course resources
Lecture 3 Defining Sales Analytics
Lecture 4 Types of Analysis
Section 2: Measuring performance using KPIs
Lecture 5 Introduction to Sales KPIs
Lecture 6 KPIs to measure Salesperson performance
Lecture 7 Marketing KPIs
Lecture 8 Financial KPIs
Lecture 9 Customer related KPIs
Lecture 10 Case Study on KPI’s – Blunder Pifflin
Lecture 11 About the case and data
Lecture 12 Case study – Joining data tables in Excel
Lecture 13 Cleaning the data using filters in Excel
Lecture 14 Finding Lead Conversion Time
Lecture 15 Practice Activity
Section 3: Analyzing sales data and finding answers
Lecture 16 Aggregating data on regions
Lecture 17 Aggregating data on categories
Lecture 18 Aggregating data on time dimension
Lecture 19 Evaluating salesperson performance
Lecture 20 Practice Activity
Section 4: Visualizing Sales Data
Lecture 21 Pie Chart for region-wise percentage contribution
Lecture 22 Bar chart for category-wise average order value
Lecture 23 Line chart for lead generation trends
Lecture 24 Scatterplot for salesperson performance analysi
Lecture 25 Creating a simple sales dashboard
Lecture 26 Practice Activity
Section 5: Modeling the sales process & Prospecting
Lecture 27 The Whale model
Lecture 28 Data questions from whale model
Lecture 29 Lead segmentation using decision trees
Lecture 30 Preparing Excel for analysis – XLSTAT
Lecture 31 Lead Segmentation Case Study
Lecture 32 About the lead data
Lecture 33 Building a decision tree model in Excel
Lecture 34 Interpreting result – Tree nodes
Lecture 35 Interpreting result – Classification criteria
Lecture 36 Inference from the model result
Lecture 37 Predicting using the trained model
Lecture 38 Advanced customization options for decision trees
Lecture 39 Practice Activity
Section 6: Deriving more value from existing customers
Lecture 40 Market Basket Analysis – Identify what to cross-sell
Lecture 41 Prerequisite – Excel Solver
Lecture 42 Perform MBA and Lift in Excel
Lecture 43 Practice Activity
Section 7: Sales Forecasting
Lecture 44 Introduction to sales forecasting
Lecture 45 Trend and Seasonality model for sales forecasting
Lecture 46 Additive time series model in Excel
Lecture 47 Multiplicative time series model in Excel
Lecture 48 Linear regression model for predictions
Lecture 49 Understanding the output of linear regression model
Lecture 50 Case study – Linear regression
Lecture 51 About the data
Lecture 52 Preprocessing the data
Lecture 53 Building a linear regression model in Excel
Lecture 54 Predicting values using the trained model
Lecture 55 Using XLSTAT for creating a linear regression model
Lecture 56 Practice Activity
Section 8: Increasing Customer Lifetime
Lecture 57 Importance of retention for sales teams
Lecture 58 Logistic regression model for churn prediction
Lecture 59 Confusion Matrix for model accuracy
Lecture 60 Retention case study and data
Lecture 61 Creating a logistic regression model using Excel
Lecture 62 Predicting churn probability using trained model
Lecture 63 Practice Activity
Section 9: Congratulations and about your certificate
Lecture 64 Bonus lecture
Anyone who wants to improve their ability to analyze sales data and use analytics to improve sales performance,Students in business, marketing, or related fields who want to learn about sales analytics and pursue a career in sales and marketing analysis,Sales representatives, sales managers, and other sales-related roles who want to understand the data and metrics used to measure sales performance, and use analytics to make data-driven decisions,Business analysts and other professionals who want to understand the data and metrics used to measure business performance, and use analytics to identify opportunities for improvement,Entrepreneurs who want to understand the data and metrics used to measure the performance of their business, and use analytics to make data-driven decisions

Homepage

www.udemy.com/course/sales-analytics/